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we only address code/doc bugs, performance issues, feature requests and
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System information

• Have I written custom code (as opposed to using a stock
  example script provided in TensorFlow): Yes

What's the ETA for updating the massively outdated documentation?

Please update all documents that are related building CNTK from source with latest CUDA dependencies that are indicated in CNTK.Common.props and CNTK.Cpp.props.
I tried to build from source, but it's a futile effort.

File "E:\New folder\multi-person-openpose.py", line 166, in
net = cv2.dnn.readNetFromCaffe(protoFile, weightsFile)
cv2.error: OpenCV(4.2.0) C:\projects\opencv-python\opencv\modules\dnn\src\caffe\caffe_io.cpp:1132: error: (-2:Unspecified error) FAILED: fs.is_open(). Can't open "pose/coco/pose_iter_440000.caffemodel" in function 'cv::dnn::ReadProtoFromBinaryFile'

Several parts of the op sec like the main op description, attributes, input and output descriptions become part of the binary that consumes ONNX e.g. onnxruntime causing an increase in its size due to strings that take no part in the execution of the model or its verification.

Setting __ONNX_NO_DOC_STRINGS doesn't really help here since (1) it's not used in the SetDoc(string) overload (s

Congratulations on a wonderful project.

Would you be able to provide the Python code for Unet_Ushape and the other examples for which it is not currently provided?

Thanks much -- Ian

• [x ] Are you running the latest bert-as-service?
• [x ] Did you follow the installation and the usage instructions in README.md?
• [x ] Did you check the FAQ list in README.md?
• [x ] Did you perform [a cursory searc

Is your feature request related to a problem? Please describe.
Other related issues: #408 #251
I trained a Chinese model for spaCy, linked it to [spacy's package folder]/data/zh (using spacy link) and want to use that for ludwig. However, when I tried to set the config for ludwig, I received an error, which tell me that there is no way to load the Chinese model.

ValueError: Key ch

I created a virtual environment using conda and I installed darkflow and it worked pretty well. I later exported the environment to try it on another computer to verify that everything works. But conda doesn't install the darkflow even though it exists on the requirement.txt

According to scipy, scipy.misc.toimage()

toimage is deprecated! toimage is deprecated in SciPy 1.0.0, and will be removed in 1.2.0. Use Pillow’s Image.fromarray directly instead.

which is used on line 46 of utils/visualizer.py is now a deprecated function under the newest scipy version. As a result this co

System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 18.04.1-Ubuntu SMP
• TensorFlow Serving installed from (source or binary): Docker 19.03.06
• TensorFlow Serving version:
  TensorFlow ModelServer: 2.1.0-rc1
  TensorFlow Library: 2.1.0

Describe the problem

Following the directions at https://www.tensorflow.org/tfx/serving/serving_ba

I built the telegram bot as described in the tutorials. It works fine and gives me context driven inferences to my questions. However, changing the "start_message" and "help_message" entries in the server_config.json file does not change anything in the bot. How can I edit my telegram bot accordingly? Thank you!

In operations_broadcast_test.go there are some tests that are not yet filled in. The point is to test that broadcasting works for different shapes. The semantics of broadcast probably isn't clear, so please do send me a message for anything.

This is a good first issue for anyone looking to get interested

https://01.org/dnnl

The project was initially launched as Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) and renamed to DNNL with v1.1 release.

It looks like the website could use an update for the latest rename to oneDNN.

Hello, @JiahuiYu .
There is no progress bar after "Trigger callback: Total counts of trainable weights: 9999294.
Total size of trainable weights: 0G 9M 548K 958B (Assuming32-bit data type.)" anymore.
What should i do to have it back?